Quantitative UX Researcher, Applied AI Solutions

About the role

We are seeking a Quantitative UX Researcher excited to help shape the future of AI-native business applications. In this role, you will lead quantitative research to help teams understand how customers interact with AI-powered experiences and what drives adoption, trust, usability, and customer value. You will turn product questions into clear hypotheses, success metrics, well-designed studies, and actionable insights to evaluate new ideas, improve existing experiences, and inform product decisions. This is a quant-first role with mixed-methods responsibilities as needed.

You will work in ambiguous, early-stage spaces, helping teams define success metrics for new AI-powered products. Your work will identify meaningful behavioral and attitudinal signals, measure product performance, and recommend improvements based on evidence.

Responsibilities

• Lead quantitative and mixed-methods research for AI-powered products, including early-stage concepts and evolving customer experiences.
• Own studies end-to-end: frame research questions, define hypotheses, select methods, identify measures, analyze results, and communicate recommendations.
• Design and run experiments, surveys, and behavioral analyses to understand customer needs, product performance, and opportunities for improvement.
• Define and track success metrics related to adoption, trust, usability, comprehension, and customer value in AI-powered experiences.
• Combine findings across research, product usage, and customer feedback to generate clear insights and practical product recommendations.
• Partner closely with product, design, and engineering to support a build, test, learn approach, where evidence informs decisions throughout the product lifecycle.

About the team

AWS Applied AI Solutions aims to be a leading provider of business applications, leveraging Amazon’s unique experience and expertise. Our mission is to accelerate customers' businesses by delivering intuitive, differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and real-world experience to build opinionated, turnkey solutions that are easy to buy and use.

The team is at the forefront of AI innovation, designing and building the next generation of intelligent business applications. We collaborate with global Product, Engineering, Science, Marketing, and Business Development teams to deliver AI-powered experiences that transform how businesses operate. Our research team ensures these solutions are not just technically advanced but truly meet customer needs and drive meaningful outcomes.

Requirements

• 3+ years of proven success leading User Research projects with demonstrated impact.
• Bachelor’s degree in HCDE, Human Factors, Cognitive Psychology, or a related field.
• End-to-end experience with all aspects of research: study design, recruiting, moderation, analysis, and reporting.
• Experience with lab-based user testing, remote testing, iterative prototype testing, survey design, and using multiple methods within a study.
• Portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas).

Preferred Qualifications

• Master’s degree in Human Factors, HCDE, or Cognitive Psychology.
• Knowledge of quantitative data analysis and statistics.
• Experience conducting and applying research in a global context.
• Experience working in a highly Agile/Scrum environment.

Pay

The base salary range for this position varies by location:

• Sunnyvale, CA: $143,100 – $193,600 USD annually
• New York, NY: $143,100 – $193,600 USD annually
• Arlington, VA: $130,100 – $176,000 USD annually
• Herndon, VA: $130,100 – $176,000 USD annually
• Seattle, WA: $130,100 – $176,000 USD annually

Final compensation will be determined based on experience, qualifications, and location. The package includes sign-on payments, restricted stock units (RSUs), and comprehensive benefits.

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D, with options for supplemental life plans).
• Employee Assistance Program (EAP) and Mental Health Support.
• Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Learn more about our benefits at amazon.jobs/en/benefits.